·Bio-design

This course is based on the intersection of life sciences and materials ecology, catalyzing design through philosophical inquiry into biotechnologies and ethical reflection on biosciences. Through experimental modules such as "microbial growth," "biological computing," and "design philosophy," students engage in practices like computational morphogenesis, the synthesis of growable materials, and biological fabrication. By driving the potential for new materials, new species, and new ecologies through design, the course explores future life forms in cross-disciplinary collaboration and proposes forward-looking design propositions.

·Embodied Intelligence

Rooted in the concept of "making the digital tangible," this course is grounded in theories of embodied cognition and tangible interaction. It adopts a modular teaching approach structured around three core themes: "embodiment, interaction, and intelligence." The curriculum integrates sensor-actuator systems, embedded development, computer vision, generative AI, and multi-sensory interaction, targeting applications in intelligent products, spatial installations, body performance, and future human-machine symbiosis scenarios. Within the intersecting contexts of art, technology, and cognitive science, the course guides students from acquiring technical skills towards innovating physical prototypes.

·Algorithmic Art

This course adopts an industry-education integration model, aligning with the cutting-edge demands of the industry to cultivate interdisciplinary art and design sensibilities. Content covers fundamentals of algorithm design, algorithmic art creation tools (including both code-based, non-code languages, and AI models), AI-assisted programming, AIGC creation methodologies, as well as foundations in scientific observation and digital aesthetics. The course emphasizes the integration of algorithmic thinking and artistic perception, helping students develop rational creative logic alongside sensitive aesthetic judgment.

·Material and Methods of Construction

Centered on the cognition and application of materials, this course encourages students to use their hands and minds, stimulating material-driven design innovation through perception and reflection. The course has two main objectives: first, to systematically master the fundamental properties and processing techniques of commonly used materials in design; second, to transcend conventional perceptions of materials within new technological contexts, discovering their potential for growth and sustainability, and engaging in purposeful, logical, and future-oriented material innovation and design exploration.

·Smart Hardware and System Development

This is a practice-oriented course requiring foundational programming knowledge. It involves development environments such as Raspberry Pi, p5.js (JavaScript), Processing (Java), and openFrameworks (C++), along with system interface design, remote communication experiments, and the application of AI technologies. The course focuses on integrating hardware and software systems, targeting future scenarios such as intelligent manufacturing, smart cities, and innovative service design. Through multidisciplinary engagement, it facilitates students' progression from component operation to advanced system construction capabilities.